Novometric Pairwise Comparisons in Consolidated Temporal Series

Paul R. Yarnold

Optimal Data Analysis, LLC

A total of 6,005 hospital patients rated their satisfaction with time taken for a nurse to respond to the call button (1=very dissatisfied; 2=somewhat dissatisfied; 3=neutral; 4=somewhat satisfied; 5=very satisfied). Responses were consolidated into four successive quarters (3rd and 4th Quarter of 1989, 1st and 2nd Quarter of 1990). Novometric analysis is used to evaluate statistical and ecological significance of all pairwise comparisons between the four quarters within this consolidated temporal series.

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Novometric Comparison of Patient Satisfaction with Nurse Responsiveness Over Successive Quarters

Paul R. Yarnold

Optimal Data Analysis, LLC

A segmentation printout or “banner pass” constitutes a consolidated crosstabulation of user/customer responses to specific prompts, for desired reporting periods and/or organizational units. In this study a total of 6,005 hospital patients rated their satisfaction with time for a nurse to respond to the call button (1=very dissatisfied; 2=somewhat dissatisfied; 3=neutral; 4=somewhat satisfied; 5=very satisfied). Responses were consolidated into successive fiscal quarters (1=3rd Quarter, 1989; 2=4th Quarter, 1989; 3=1st Quarter, 1990; 4=2nd Quarter, 1990). Novometric analysis is used to evaluate the statistical and ecological significance of satisfaction gains observed over time.

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Novometric Comparison of Markov Transition Matrices for Heterogeneous Populations

Paul R. Yarnold

Optimal Data Analysis, LLC

The American National Election Panel Study modeled transitions in social class (Working versus Middle) identification occurring between 1956, 1958, and 1960, and although a first-order Markov model was judged unsatisfactory, insufficient measurements were available to validate higher-order models. The sample was thus stratified with respect to whether respondents’ perceived their financial condition to have worsened or improved between data collection waves, in order to “…significantly decrease within-strata and increase between-strata heterogeneity of transition rates”. The probability of working class identification in 1958 was hypothesized to be greatest for respondents who “…felt their financial status declined, identification in 1956 held constant”, and was confirmed by visual examination. Non-directional omnibus chi-square analysis showed “stratification of the sample by perceived financial change (yielded) significantly different transition matrices” (chi-square=14.9, df=2, p<0.01). In contrast, novometric analysis found social class identification in 1958 was predicted by social class identification in 1956, and not by perceived financial status.

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Novometric Analysis of Transition Matrices to Ascertain Markovian Order

Paul R. Yarnold

Optimal Data Analysis, LLC

The American National Election Panel Study modeled transitions in social class identification occurring between 1956, 1958, and 1960. Visual analysis suggested “…that transition probabilities linking class identifications in 1958 and 1960 vary with 1956 identification”. Transition tables were compared using Goodman’s chi-square procedure: chi-square=98.2, df=2, p<0.0001. Based on visual examination and non-disentangled omnibus chi-square findings, the null hypothesis of a first-order Markov model was rejected in favor of the alternative hypothesis that the underlying temporal process is a second-order Markovian (pp. 13-15). In contrast, novometric analysis indicated that a first-order Markov model is appropriate for these data.

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